



from __future__ import annotations

class   snake_case__							:







						"""simple docstring"""




						def __init__(  self   ,  __lowercase=None    )   -> Union[str, Any]:
									"""simple docstring"""




									a__  :		Tuple					=    data
									a__  :		Union[str, Any]					=    None

						def __repr__(  self    )   -> Dict:
									"""simple docstring"""




									a__  :		List[Any]					=    []
									a__  :		Optional[Any]					=    self
									while temp:
												string_rep.append(F'''{temp.data}'''    )
												a__  :		List[str]					=    temp.next
									return "->".join(SCREAMING_SNAKE_CASE_    )




def       lowerCAmelCase_	(    _lowercase							:  list)				->			int:







			"""simple docstring"""


			if not elements_list:
						raise Exception("""The Elements List is empty""")

			a__  :		Union[str, Any]					=    Node(elements_list[0])
			for i in range(1		,  len(lowerCAmelCase__)):
						a__  :		List[str]					=    Node(elements_list[i])
						a__  :		Optional[int]					=    current.next
			return head

def       lowerCAmelCase_	(    _lowercase							:  Node)				->			Tuple:







			"""simple docstring"""


			if head_node is not None and isinstance(lowerCAmelCase__		,  lowerCAmelCase__):
						print_reverse(head_node.next)
						print(head_node.data)

def       lowerCAmelCase_	(    )				->			Tuple:







			"""simple docstring"""
			from doctest import testmod

			testmod()

			a__  :		List[str]					=    make_linked_list([14, 52, 14, 12, 43])
			print("""Linked List:""")
			print(lowerCAmelCase__)
			print("""Elements in Reverse:""")
			print_reverse(lowerCAmelCase__)


if __name__ == "__main__":
		main()









from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


a      :  Optional[Any]			     =			{
    'configuration_mvp': ['MVP_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MvpConfig', 'MvpOnnxConfig'],
    'tokenization_mvp': ['MvpTokenizer'],
}

try:
	if not is_tokenizers_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	a      :  str			     =			['MvpTokenizerFast']

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	a      :  Optional[Any]			     =			[
	    'MVP_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'MvpForCausalLM',
	    'MvpForConditionalGeneration',
	    'MvpForQuestionAnswering',
	    'MvpForSequenceClassification',
	    'MvpModel',
	    'MvpPreTrainedModel',
	]

if TYPE_CHECKING:
	from .configuration_mvp import MVP_PRETRAINED_CONFIG_ARCHIVE_MAP, MvpConfig, MvpOnnxConfig
	from .tokenization_mvp import MvpTokenizer

	try:
		if not is_tokenizers_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_mvp_fast import MvpTokenizerFast

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_mvp import (
		    MVP_PRETRAINED_MODEL_ARCHIVE_LIST,
		    MvpForCausalLM,
		    MvpForConditionalGeneration,
		    MvpForQuestionAnswering,
		    MvpForSequenceClassification,
		    MvpModel,
		    MvpPreTrainedModel,
		)

else:
	import sys

	a      :  Optional[Any]			     =			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






